Proceedings ... International Joint Conference on Bioinformatics, Systems Biology and Intellgent Computing. International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing最新文献
{"title":"Proceedings of the 3rd International Conference on Bioinformatics and Intelligent Computing, BIC 2023, Sanya, China, February 10-12, 2023","authors":"","doi":"10.1145/3592686","DOIUrl":"https://doi.org/10.1145/3592686","url":null,"abstract":"","PeriodicalId":89223,"journal":{"name":"Proceedings ... International Joint Conference on Bioinformatics, Systems Biology and Intellgent Computing. International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing","volume":"3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74025781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"BIC 2022: 2nd International Conference on Bioinformatics and Intelligent Computing, Harbin, China, January 21 - 23, 2022","authors":"","doi":"10.1145/3523286","DOIUrl":"https://doi.org/10.1145/3523286","url":null,"abstract":"","PeriodicalId":89223,"journal":{"name":"Proceedings ... International Joint Conference on Bioinformatics, Systems Biology and Intellgent Computing. International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing","volume":"131 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83416289","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
L. YueYl, X. FuFx, L. FengmingFml, Y. FengyangFyy, X. ChuanjieCjx
{"title":"Research on Dialogue Generation Algorithm Based on Explicit Weighted Context","authors":"L. YueYl, X. FuFx, L. FengmingFml, Y. FengyangFyy, X. ChuanjieCjx","doi":"10.1145/3448748.3448799","DOIUrl":"https://doi.org/10.1145/3448748.3448799","url":null,"abstract":"At present, generating responses based on neural network learning has become a hot spot, and has gradually entered a new stage of pre-training language model. The intelligence and transferability of the dialogue system in the open domain is becoming more and more obvious, but there are still many problems, such as single reply, logic contradiction, general security answer. So as to solve the weakness in reply, we starting from the context, this paper uses the method of Point Mutual Information (PMI)to calculate the relevant weight between the context and the current dialogue to explicitly weight the context and give full play to the effective information of the current dialogue. Further inputing into the dialogue generation of the pre-training language model for fine-tuning. In the experimental evaluation, we make a comprehensive analysis from three aspects: automatic evaluation, objective index calculation and manual evaluation. The results show that our method of explicit weighted context coding will enrich the coding information further generating more diverse and meaningful responses, can be significantly improved compared with the baseline model.","PeriodicalId":89223,"journal":{"name":"Proceedings ... International Joint Conference on Bioinformatics, Systems Biology and Intellgent Computing. International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing","volume":"159 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77560306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Visual Performance of Technology and Philosophy in \"Contemporary Art\"","authors":"L. Liu","doi":"10.1145/3448748.3448805","DOIUrl":"https://doi.org/10.1145/3448748.3448805","url":null,"abstract":"Starting from the characteristics and visual expression of contemporary art, this paper studies and discusses the integration of different disciplines in contemporary art, which makes the creation of contemporary art more similar to the work \"manufacturing\" of the artist team. The identity of the artist is transformed into the role of the designer. The art works reflect the philosophical thinking under the integration of multiple disciplines. At the same time, it analyzes the development trend of digital, virtual and interactive visual presentation of contemporary art based on technical support. Through the creation process of art works, it discusses two aspects of algorithm and data as intelligent art works. The research holds that digital technology has led to the boundless visual impact of \"contemporary art\" and the bioethical discussion behind its visual expression, namely philosophical speculation. Digitization has always been a technical means rather than an objective of \"contemporary art\".","PeriodicalId":89223,"journal":{"name":"Proceedings ... International Joint Conference on Bioinformatics, Systems Biology and Intellgent Computing. International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing","volume":"155 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77468279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tianming Zhuang, Pengbiao Zhao, Peng Xiao, Bin Wang
{"title":"Multi-Stream CNN-LSTM Network with Partition Strategy for Human Action Recognition","authors":"Tianming Zhuang, Pengbiao Zhao, Peng Xiao, Bin Wang","doi":"10.1145/3448748.3448815","DOIUrl":"https://doi.org/10.1145/3448748.3448815","url":null,"abstract":"The wide application of human action recognition in the field of computer vision makes it a hot research topic in the past decades. In recent years, the prevalence of deep sensors and the proposal of real-time skeleton estimation algorithm based on deep images make human action recognition based on skeleton sequence attract increasing attention of researchers. Most of the existing work is aimed at extracting the spatial information of different joint nodes in a frame, but they do not fully consider the combination of temporal and spatial features. At the same time, the different joints were regarded as equally significant in most previous work, which is obviously not in line with the physiological characteristics and kinematics of human body. Therefore, in this paper, a human joint partition strategy is proposed to divide 25 human joints. In addition, a cnn-lstm framework is designed, which can simultaneously model the spatio-temporal characteristics of human skeleton sequence data, and extract the spatial domain information of different joints in a frame and the temporal domain information embedded in consecutive frames.","PeriodicalId":89223,"journal":{"name":"Proceedings ... International Joint Conference on Bioinformatics, Systems Biology and Intellgent Computing. International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing","volume":"76 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72987019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Research on the Influence of Modern Consumer Psychology on Packaging Design Based on Image Analysis","authors":"Yangang Zhou","doi":"10.1145/3448748.3448801","DOIUrl":"https://doi.org/10.1145/3448748.3448801","url":null,"abstract":"In the highly competitive modern commodity economy society, the multidimensional and difference of people's consumption psychology determines that commodity packaging must have multidimensional emotional demands in order to attract specific consumer groups to produce expected purchase behavior. Packaging design should improve itself effectively under the influence of modern consumer psychology, and use its own advantages to guide modern more reasonable and healthy consumer psychology, and finally realize the faster and more effective development of packaging design under the influence of modern consumer psychology. As a new era of packaging design staff, should actively strengthen the study of modern human consumption psychology, combined with their own learning, and then can better promote the overall level of packaging design. Packaging design should not only adhere to the previous design concept, but also integrate the elements of progress of the times at any time, at the same time, combined with the psychological factors of modern consumers, show the different psychological needs of consumers. Therefore, based on the image analysis method, this paper deeply explores the influence of consumer psychology on packaging design.","PeriodicalId":89223,"journal":{"name":"Proceedings ... International Joint Conference on Bioinformatics, Systems Biology and Intellgent Computing. International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing","volume":"301 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77451469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Risk Analysis and Control Method Research on One Type of Operation Test","authors":"Yuanbo Xiong, Nuo Cheng, Yang Lin","doi":"10.1145/3448748.3448806","DOIUrl":"https://doi.org/10.1145/3448748.3448806","url":null,"abstract":"","PeriodicalId":89223,"journal":{"name":"Proceedings ... International Joint Conference on Bioinformatics, Systems Biology and Intellgent Computing. International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing","volume":"76 1","pages":"379-384"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76160899","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Using Frequent Co-expression Network to Identify Gene Clusters for Breast Cancer Prognosis.","authors":"Jie Zhang, Kun Huang, Yang Xiang, Ruoming Jin","doi":"10.1109/IJCBS.2009.29","DOIUrl":"https://doi.org/10.1109/IJCBS.2009.29","url":null,"abstract":"<p><p>In this paper, we investigated the use of gene co-expression network analyses to identify potential biomarkers for breast carcinoma prognosis. The network mining algorithm CODENSE is used to identify highly connected genome-wide gene co-expression networks among a variety of cancer types, and the resulted gene clusters are applied to a series of breast cancer microarray sets to categorize the patients into different groups. As a result, we have identified a set of genes that are potential biomarkers for breast cancer prognosis which can categorize the patients into two groups with distinct prognosis. We also compared the gene clusters we discovered with gene subsets identified from similar studies using other clustering algorithms.</p>","PeriodicalId":89223,"journal":{"name":"Proceedings ... International Joint Conference on Bioinformatics, Systems Biology and Intellgent Computing. International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing","volume":" ","pages":"428-434"},"PeriodicalIF":0.0,"publicationDate":"2009-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/IJCBS.2009.29","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"31383250","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Bayesian Approach for Identifying miRNA Targets by Combining Sequence Prediction and Expression Profiling.","authors":"Hui Liu, Shou-Jiang Gao, Yufei Huang","doi":"10.1109/IJCBS.2009.120","DOIUrl":"https://doi.org/10.1109/IJCBS.2009.120","url":null,"abstract":"<p><p>MicroRNAs (miRNAs) are single-stranded non-coding RNAs shown to plays important regulatory roles in a wide range of biological processes and diseases. The functions and regulatory mechanisms of most of miRNAs are still poorly understood in part because of the difficulty in identifying the miRNA regulatory targets. To this end, computational methods have evolved as important tools for genome-wide target screening. Although considerable work in the past few years has produced many target prediction algorithms, most of them are solely based on sequence, and their accuracy is still poor. In contrast, gene expression profiling from miRNA over-expression experiments can provide additional information about miRNA targets. This paper presents a Bayesian approach to integrate sequence level prediction result with expression profiling to improve the performance of miRNA target identification. The test on proteomic and IP pull-down data demonstrated better performance of the proposed approach.</p>","PeriodicalId":89223,"journal":{"name":"Proceedings ... International Joint Conference on Bioinformatics, Systems Biology and Intellgent Computing. International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing","volume":"2009 ","pages":"185-189"},"PeriodicalIF":0.0,"publicationDate":"2009-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/IJCBS.2009.120","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"29598592","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}